This model includes the implementation of dimensional emotion classification described in Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits (https://arxiv.org/pdf/2505.14648) The training pipeline used is also the top-performing solution (SAILER) in INTERSPEECH 2025—Speech Emotion Challenge (https://lab-msp.com/MSP-PodcastCompetition/IS2025/). Note that we did not use the transcript compared to our official challenge submission system, and we created a speech-only system to make the model simple but still effective. We use the MSP-Podcast data to train this model, noting that the model might be sensitive to content information when making…
Open weights
openrail
1.5B parameters
This model includes the implementation of categorical emotion classification described in Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits (https://arxiv.org/pdf/2505.14648) The training pipeline used is also the top-performing solution (SAILER) in INTERSPEECH 2025—Speech Emotion Challenge (https://lab-msp.com/MSP-PodcastCompetition/IS2025/). Note that we did not use all the augmentation and did not use the transcript compared to our official challenge submission system, but we created a speech-only system to make the model simple but still effective. We use the MSP-Podcast data to train this model, noting that the model might be…
Open weights
openrail
1.5B parameters
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